Department of Chemistry and Chemical Engineering, Syed Babar Ali School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan.
Department of Chemistry, University of Gujrat, Gujrat, Pakistan.
J Biomol Struct Dyn. 2022 May;40(8):3777-3788. doi: 10.1080/07391102.2020.1850359. Epub 2020 Nov 30.
The COVID-19 pandemic has claimed more than a million lives worldwide within a short time span. Due to the unavailability of specific antiviral drugs or vaccine, the infections are causing panic both in general public and among healthcare providers. Therefore, an urgent discovery and development of effective antiviral drug for the treatment of COVID-19 is highly desired. Targeting the main protease (M) of the causative agent, SARS-CoV-2 has great potential for drug discovery and drug repurposing efforts. Published crystal structures of SARS-CoV-2 M further facilitated investigations for discovering new inhibitors against M. The present study aimed to screen several libraries of synthetic flavonoids and benzisothiazolinones as potential SARS-CoV-2 M inhibitors using methods. The short-listed compounds after virtual screening were filtered through SwissADME modeling tool to remove molecules with unfavorable pharmacokinetics and medicinal properties. The drug-like molecules were further subjected to iterative docking for the identification of top binders of SARS-CoV-2 M. Finally, molecular dynamic (MD) simulations and binding free energy calculations were performed for the evaluation of the dynamic behavior, stability of protein-ligand complex, and binding affinity, resulting in the identification of thioflavonol, as a potential inhibitor of M. The computational studies further revealed the binding of close to catalytic dyad and interactions with conserved residues in the S1 subsite of the substrate binding site. Our study demonstrated that synthetic analogs of flavonoids, particularly thioflavonols, have a strong tendency to inhibit the main protease M, and thereby inhibit the reproduction of SARS-CoV-2. Communicated by Ramaswamy H. Sarma.
在短时间内,COVID-19 大流行已在全球夺走了一百多万人的生命。由于缺乏特定的抗病毒药物或疫苗,感染在普通公众和医疗保健提供者中引起了恐慌。因此,迫切需要发现和开发治疗 COVID-19 的有效抗病毒药物。针对病原体 SARS-CoV-2 的主要蛋白酶(M)具有很大的药物发现和药物再利用潜力。已发表的 SARS-CoV-2 M 的晶体结构进一步促进了针对 M 的新抑制剂的发现研究。本研究旨在使用计算机模拟筛选几种合成类黄酮和苯并异噻唑啉酮文库,以寻找潜在的 SARS-CoV-2 M 抑制剂。虚拟筛选后,通过 SwissADME 建模工具筛选出具有不利药代动力学和药物特性的化合物。将类药性分子进一步进行迭代对接,以鉴定 SARS-CoV-2 M 的最佳结合配体。最后,进行分子动力学(MD)模拟和结合自由能计算,以评估蛋白质-配体复合物的动态行为、稳定性和结合亲和力,从而鉴定出硫代黄酮醇是 M 的潜在抑制剂。计算研究进一步表明,类黄酮的合成类似物,特别是硫代黄酮醇,具有强烈抑制主要蛋白酶 M 的趋势,从而抑制 SARS-CoV-2 的复制。由 Ramaswamy H. Sarma 传达。